Reptile: The final algorithm we use to train our model is Reptile[1]}. Reptile is similar to FOMAML in that it does not require calculation of second-order derivatives. The Reptile meta-learner also learns to initialize the weights \(\theta \)  of the learner. The learner performs \(k (>1)\)  gradient updates on the support set of a task.
\(\begin{multlined}\textrm {repeat k times:}\\\theta ^{\prime } = \theta - \alpha . \nabla \mathcal {L}_{train(\mathcal {T})}(\theta )\end{multlined}\) 
